Skill-Salary Correlation Study

Skill-Salary Correlation Study
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Skill-Salary Correlation Study

This project analyzes how technical skills affect salary outcomes using real-world data from Glassdoor job postings. After cleaning and standardizing salary information, exploratory analysis was performed to compare average pay across different skills, job roles, and industries. The study found that professionals with combinations like Python, SQL, and Tableau earn up to 25% higher salaries than those with single-skill profiles. Regression modeling further revealed that skills such as SAS, AWS, Python, and R have strong positive impacts on salary levels, particularly in finance and analytics-related roles. Visualizations including bar charts, heatmaps, and bubble plots highlighted the most valuable skill clusters and top-paying industries. The project concludes that building multi-skill expertise—especially in data programming, analytics, and cloud tools—significantly boosts earning potential and career growth in today’s data-driven job market.

Data Science Machine Learning Python EDA Data Visualization Feature Engineering Pandas NumPy Matplotlib Seaborn +2 more

Project Overview

This project analyzes how technical skills affect salary outcomes using real-world data from Glassdoor job postings. After cleaning and standardizing salary information, exploratory analysis was performed to compare average pay across different skills, job roles, and industries. The study found that professionals with combinations like Python, SQL, and Tableau earn up to 25% higher salaries than those with single-skill profiles. Regression modeling further revealed that skills such as SAS, AWS, Python, and R have strong positive impacts on salary levels, particularly in finance and analytics-related roles. Visualizations including bar charts, heatmaps, and bubble plots highlighted the most valuable skill clusters and top-paying industries. The project concludes that building multi-skill expertise—especially in data programming, analytics, and cloud tools—significantly boosts earning potential and career growth in today’s data-driven job market.

Key Features

Data Cleaning & Preparation

Standardized salary data, removed irrelevant fields, handled categorical variables, and created binary skill indicators.

Skill-Based Salary Analysis

Computed average and median salaries across multiple technical skill sets such as Python, SQL, AWS, Tableau, Spark, and more.

Exploratory Data Visualizations

Visualized salary patterns using bar charts, heatmaps, and bubble charts to understand experience and skill relationships.

Statistical Regression Modeling

Built a multiple linear regression model to measure the impact of skills, experience, and industry on salary levels.

Feature Importance Insights

Identified which skills lead to the highest salaries (e.g., Python + SQL + Tableau + AWS).

Career Recommendations

Provided data-backed guidance on which skills to learn to maximize earning potential.

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Jay Panchal Jay Panchal Bibhu Prasad Bibhu Prasad Akaash Jaiswal Akaash Jaiswal

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